Combining the RCAS/tv-a retrovirus and CRISPR/Cas9 gene editing systems to generate primary mouse models of diffuse

Sophie R Wu1, Julianne Sharpe2, Joshua Tolliver1

  • 1Department of Radiation Oncology, Duke University, Durham, NC 27710, United States.

Neoplasia (New York, N.Y.)
|March 8, 2025
PubMed

Insights

Researchers developed a new mouse model for diffuse midline gliomas (DMGs), lethal pediatric brain tumors. This model uses CRISPR/Cas9 to efficiently create and study these aggressive tumors, paving the way for new therapeutic strategies.

Area of Science:

  • Neuro-oncology
  • Genetics
  • Molecular Biology

Background:

  • Diffuse midline gliomas (DMGs) are aggressive pediatric brain tumors with poor prognoses.
  • Genetically engineered mouse models (GEMMs) are crucial for understanding DMG development and testing treatments.
  • Existing GEMMs have limitations in multiplexing genetic alterations and targeting specific brain cell types.

Purpose of the Study:

  • To develop an improved GEMM for studying diffuse midline gliomas.
  • To enable multiplex genetic perturbations within specific brain lineages.
  • To facilitate research into DMG tumorigenesis, evolution, and therapeutic interventions.

Main Methods:

  • Combination of the RCAS/tv-a avian retrovirus system with CRISPR/Cas9 genetic engineering.
  • Targeted disruption of key genes including Trp53, PDGF-B, Pten, Atm, and Cdkn2a in mouse brains.
  • Utilized next-generation sequencing (NGS) and immunohistochemistry (IHC) for genetic validation.

Main Results:

  • Successful induction of high-grade midline gliomas with moderate latency (12 weeks) by disrupting Trp53 and PDGF-B.
  • Mini-pooled CRISPR/Cas9 experiments significantly reduced tumor latency (3.6 weeks) when multiple tumor suppressor genes were targeted.
  • Demonstrated multiclonal tumor origins and identified stronger selection for Trp53 disruption.

Conclusions:

  • The developed RCAS/tv-a and CRISPR/Cas9 approach provides a powerful and versatile platform for DMG research.
  • This model enables complex genetic manipulations, accelerating the study of tumor evolution and the development of novel therapeutics.
  • Facilitates in vivo investigation of combinatorial gene effects on DMG formation and progression.